Presence–absence data are used widely in analysis of wildlife–habitat relationships. Failure
to detect a species' presence in an occupied habitat patch is a common sampling problem …

Presence‐Absence data can be useful to wildlife managers in a wide variety of contexts,
from monitoring populations at large spatial scales to identifying habitats that are of high …

Wildlife surveys often seek to determine the presence or absence of species at sites. Such
data may be used in population monitoring, impact assessment, and species–habitat …

Resource‐selection probability functions and occupancy models are powerful methods of
identifying areas within a landscape that are highly used by a species. One common …

ABSTRACT Presence–absence (detection/non‐detection) data are routinely collected in
wildlife studies where identification of individuals is impossible or impractical and where the …

Models of species distributions are increasingly being used to address a variety of problems
in conservation biology. In many applications, perfect or constant detectability of species …

The use of presence/absence data in wildlife management and biological surveys is
widespread. There is a growing interest in quantifying the sources of error associated with …

Monitoring the population trends of multiple animal species at a landscape scale is
prohibitively expensive. However, advances in survey design, statistical methods, and the …

Summary 1 Presence‐only data, for which there is no information on locations where the
species is absent, are common in both animal and plant studies. In many situations, these …

In the last decade, the application of predictive models of species distribution in ecology,
evolution, and conservation biology has increased dramatically. However, limited available …